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Leveraging Non-conventional Data Sources for Official Statistics

Published on 20-Mar-2025 08:34 PM

Leveraging Non-Conventional Data Sources for Official Statistics

In today’s data-driven world, official statistics play a pivotal role in shaping policies, planning, and decision-making across sectors. However, while data from governments and institutions is invaluable, it often relies on conventional datasets, which may not always be sufficient or accessible. This has led to questions: How can we effectively utilize non-conventional data sources to enhance the utility of official statistics? The session attended by the Ministry of Statistics and Programme Implementation (MoSPI) on March 20th, 2025, provided a thought-provoking discussion on this topic.

Why Non-Conventional Data Sources are Vital

Traditional datasets often consist of standardized forms of data, such as population registers or housing surveys. However, these datasets may not account for the complexities of modern life, including remote areas, emerging technologies, and evolving social dynamics. As the digital revolution advances, the demand for non-conventional datasets has grown exponentially, offering unique insights that traditional data cannot provide.

Case Studies from the Session

Sri Kris Gopalakrishnan: The Keynote Addresser

In his keynote address, Sri Kris Gopalakrishnan emphasized the importance of leveraging non-conventional data sources. He highlighted that while many governments and institutions rely on conventional datasets like population registers or housing surveys, these may not capture the nuances of modern socio-economic realities.

Example:
Dr. Saurabh Garg discussed the Aadhar Ecosystem, which is a widely used dataset for authentication in government services. The Aadhar system was introduced to enhance data security and streamline government operations. By integrating non-conventional datasets like geospatial information systems (GIS) within official statistics, policymakers can gain deeper insights into urban planning, infrastructure development, and community management.

Dr. Karan Nagpal: A Case Study in Geospatial Data

Dr. Karan Nagpal from IDinsight presented a specific example of how geospatial data is being used to enhance government statistics. By collecting and analyzing geospatial datasets like satellite imagery or urban planning tools, the Indian government can generate more accurate macro-indicators such as price data for goods.

Example:
Using ISRO’s Geospatial data products, Dr. Nagpal demonstrated how this integration allows for detailed analysis of issues like supply chains (via logistics data), travel efficiency (via geospatial routing), and smart farming (via agricultural data). This approach not only improves decision-making but also aligns with the growing focus on environmental sustainability.

Challenges and Solutions

While non-conventional data sources offer unique insights, their implementation requires careful consideration of challenges such as data quality, integration complexity, and regulatory compliance. Policymakers need to collaborate with stakeholders across sectors to ensure that these datasets are effectively integrated into official statistics.

Example: Collaboration Across Sectors

Dr. Nagpal highlighted the importance of stakeholder collaboration in integrating non-conventional datasets. By involving astronomers, geographers, and policymakers from various institutions, they can ensure that diverse data sources complement each other rather than replace one another.

Conclusion

Leveraging non-conventional data sources is not just a trend—it’s an essential part of modern statistical practice. From the Aadhar Ecosystem to ISRO’s geospatial data products, these innovative approaches are being used by governments worldwide to enhance their datasets and improve decision-making. As the digital revolution continues to transform our world, policymakers need to embrace non-conventional data sources to create a more comprehensive understanding of socio-economic systems.

In summary, while traditional datasets remain vital, they must be supplemented with non-conventional data sources to address the complexities of modern society. By fostering collaboration and leveraging innovative technologies, we can unlock new insights that will shape our future.


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